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4 дня назад

Data Scientist (AI)

150 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (AI) (LLM-based applications): Building and evaluating agentic AI applications for regulated financial workflows with an accent on LLM evaluation, prompt and context optimization, applied research, and data-driven investment decisions. Focus on designing 0→1 AI systems, benchmarking real-world deployments, exploring emerging agentic techniques, and translating statistical insights for executive audiences.

Location: NYC-Metro; hybrid work

Base compensation: $150,000–$200,000 annually, plus annual bonus and equity.

Company

hirify.global builds production-ready agentic AI workforces for financial services, running defined workflows within institutional controls and audit boundaries.

What you will do

  • Develop methods to evaluate agentic AI system performance and track results over time.
  • Optimize prompts and context and apply adapter tuning when appropriate to improve LLM-based applications.
  • Design, implement, and validate AI-native systems that combine advanced models, proprietary data, and novel architectures.
  • Benchmark systems and support real-world deployment of applied research from initial concept to production.
  • Explore emerging AI research, run bold experiments, and identify opportunities for innovation.
  • Apply statistics, machine learning, and data science to investment sourcing, screening, due diligence, and asset monitoring.

Requirements

  • 5–10 years of experience.
  • Deep understanding of designing and evaluating LLM-based applications.
  • Experience building intelligent systems with models, including compound AI systems, agentic collaboration, ensembling, ReAct, or graph-of-thoughts techniques.
  • Strong programming and data analysis skills.
  • Ability to interpret statistical insights for non-technical and executive audiences.
  • Regular use of AI tools such as ChatGPT, Cursor, NotebookLM, or Claude Code.

Nice to have

  • Experience with financial systems, risk modeling, or decision automation.
  • Familiarity with machine learning training and deployment.
  • Experience with embedded analytics.

Culture & Benefits

  • Work directly with the founders and own key technical decisions from the start.
  • Join an early team focused on curiosity, pragmatism, and engineering excellence.
  • Annual bonus and equity in addition to base compensation.
  • Work on AI systems designed for traceability, inspection, governance, and institutional controls.

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